As the most transformative technological force at present, artificial intelligence has received more and more attention. At the same time, generative AI is also emerging as a new opportunity for AI technology and is moving forward at an eye-popping pace. 2023 was once seen as the first year of generative AI, and more and more enterprises are eager to have their own large models, and the cost is undoubtedly high. For enterprises, how to more efficiently implement algorithms, models, rule generation and other technologies at a reasonable cost will become a new opportunity and challenge for enterprises.
John Roese, Global Chief Technology Officer, Dell Technologies
On December 13, Beijing time, Dell Technologies released its outlook for key technologies in 2024 in China. It covers the transformation of generative AI from theory to practice, true zero trust security, edge platform development trends, and the relationship between quantum computing and generative AI. During the conference, John Roese, Global Chief Technology Officer of Dell Technologies, also detailed and shared the new trends affecting the technology industry in 2024 and beyond for ** from Chinese mainland, Taiwan and Hong Kong.
John Roese said that we need to keep an eye on AI, but we can't ignore other architectures either. This is the only way to ensure long-term success by aligning vision with action. Dell Technologies leads customers to innovate in their respective fields through technology enablement. To this end, Dell Technologies is focusing on the process of moving generative AI from theory to practice in 2024 in the face of this new technology trend.
Innovation is always desirable, and the realization that these new tools can be harnessed anywhere where language can be used has sparked an infinite amount of creativity. Nearly every business is eager to use generative AI to change their operational problems in order to overtake in the face of fierce competition.
But the reality is that both Genai and GPT4 are expensive to train their models. At present, more and more enterprises are still in the initial stage of so-called practice. These companies prefer to use basic models from all over the world, and then tune, optimize, or interconnect the basic models to meet some relatively simple needs.
John Roese highlighted that heading into 2024, one will see the first Genai enterprise projects maturing. The following issues must be addressed: First, what is the infrastructure for inference?Second, where do we put our reasoning?Third, how do you secure your inference infrastructure with these capabilities?
Based on these problems, enterprises must clarify how to build an inference infrastructure in addition to the training infrastructure, and where the inference architecture is deployed. This involves the choice of data center, edge infrastructure, zero trust, and other areas.
At the end of the session, John Roese also singled out the complementary relationship between quantum computing and generative AI. John Roese** not only in 2024, but in the next few years, quantum computing and generative AI development will be areas to watch. With unprecedented data processing capabilities, quantum computing will bring about a huge leap forward in the capabilities of AI systems. At the same time, hybrid quantum systems will become the computing foundation of modern AI, and AI work will be dispersed across a range of different computing architectures, including quantum processing units. A more efficient and fast response will surely make people full of expectations and surprises!